Formulating clinical research hypotheses as structural equation models: a conceptual overview.
Publication
, Journal Article
Hoyle, RH; Smith, GT
Published in: Journal of consulting and clinical psychology
June 1994
Structural equation modeling is a comprehensive, flexible approach to research design and data analysis. Although in recent years there has been phenomenal growth in the literature on technical aspects of structural equation modeling, relatively little attention has been devoted to conceiving research hypotheses as structural equation models. The aim of this article is to provide a conceptual overview of clinical research hypotheses that invite evaluation as structural equation models. Particular attention is devoted to hypotheses that are not adequately evaluated using traditional statistical models.
Duke Scholars
Published In
Journal of consulting and clinical psychology
DOI
EISSN
1939-2117
ISSN
0022-006X
Publication Date
June 1994
Volume
62
Issue
3
Start / End Page
429 / 440
Related Subject Headings
- Research Design
- Reproducibility of Results
- Psychometrics
- Psychology, Clinical
- Psychological Tests
- Models, Statistical
- Humans
- Clinical Psychology
- 5205 Social and personality psychology
- 5203 Clinical and health psychology
Citation
APA
Chicago
ICMJE
MLA
NLM
Hoyle, R. H., & Smith, G. T. (1994). Formulating clinical research hypotheses as structural equation models: a conceptual overview. Journal of Consulting and Clinical Psychology, 62(3), 429–440. https://doi.org/10.1037//0022-006x.62.3.429
Hoyle, R. H., and G. T. Smith. “Formulating clinical research hypotheses as structural equation models: a conceptual overview.” Journal of Consulting and Clinical Psychology 62, no. 3 (June 1994): 429–40. https://doi.org/10.1037//0022-006x.62.3.429.
Hoyle RH, Smith GT. Formulating clinical research hypotheses as structural equation models: a conceptual overview. Journal of consulting and clinical psychology. 1994 Jun;62(3):429–40.
Hoyle, R. H., and G. T. Smith. “Formulating clinical research hypotheses as structural equation models: a conceptual overview.” Journal of Consulting and Clinical Psychology, vol. 62, no. 3, June 1994, pp. 429–40. Epmc, doi:10.1037//0022-006x.62.3.429.
Hoyle RH, Smith GT. Formulating clinical research hypotheses as structural equation models: a conceptual overview. Journal of consulting and clinical psychology. 1994 Jun;62(3):429–440.
Published In
Journal of consulting and clinical psychology
DOI
EISSN
1939-2117
ISSN
0022-006X
Publication Date
June 1994
Volume
62
Issue
3
Start / End Page
429 / 440
Related Subject Headings
- Research Design
- Reproducibility of Results
- Psychometrics
- Psychology, Clinical
- Psychological Tests
- Models, Statistical
- Humans
- Clinical Psychology
- 5205 Social and personality psychology
- 5203 Clinical and health psychology